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Petri nets-based method for operational risk analysis in supply chains based on timeliness and recovery time

Author

Listed:
  • Jacek Skorupski
  • Agnieszka A. Tubis
  • Sylwia WerbiÅ„ska-Wojciechowska
  • Adam Wróblewski

Abstract

Recently, supply chain risk management has been attracting growing attention. Therefore, various methods, tools, and practices have been developed in this area. However, they usually are focused on the direct consequences of disruptions occurring in supply chains. Thus, the purpose of this article is to present an operational risk analysis method for supply chains, in which consequences of an adverse event occurrence are assessed based on two measures: (1) the direct consequences (disruption) of supply processes to customers, and (2) recovery time for a supply system. Based on research findings, we introduced a Petri nets model for mapping material flows along a supply chain. We implement the proposed analysis method in a selected company from the automotive industry. The performed final discussion confirmed the relevance of distinguishing the direct and indirect consequences of the risk assessment. It was also suggested that the results’ interpretation could be two-fold, which may be necessary for appropriate risk management tool selection.

Suggested Citation

  • Jacek Skorupski & Agnieszka A. Tubis & Sylwia WerbiÅ„ska-Wojciechowska & Adam Wróblewski, 2024. "Petri nets-based method for operational risk analysis in supply chains based on timeliness and recovery time," Journal of Risk and Reliability, , vol. 238(3), pages 523-539, June.
    • Handle: RePEc:sae:risrel:v:238:y:2024:i:3:p:523-539
    DOI: 10.1177/1748006X231168957
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    References listed on IDEAS

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    1. Guedes, Edson Júnior Gomes & Bittar, Alexandre De Vicente & Di Serio, Luiz Carlos & De Oliveira, Luciel Henrique, 2015. "Risk Management in the Supply Chain of the Brazilian automotive industry," Journal of Operations and Supply Chain Management (JOSCM), Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP), vol. 8(01), June.
    2. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    3. David Simchi-Levi & William Schmidt & Yehua Wei & Peter Yun Zhang & Keith Combs & Yao Ge & Oleg Gusikhin & Michael Sanders & Don Zhang, 2015. "Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain," Interfaces, INFORMS, vol. 45(5), pages 375-390, October.
    4. Tommaso Rossi & Margherita Pero, 2012. "A formal method for analysing and assessing operational risk in supply chains," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 13(1), pages 90-109.
    5. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    6. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    7. Maurizio Bevilacqua & Filippo Emanuele Ciarapica & Giovanni Mazzuto, 2012. "Modelling and performance analysis of a supply chain using timed coloured Petri nets," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 4(3/4), pages 285-316.
    8. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    9. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
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